A tractable framework for optimal stealthy attacks in partially observed linear systems via innovation likelihood detection, with hierarchical optimization and separation principle yielding semi-explicit adaptive attacks.
Optimal control of McKean-Vlasov systems under partial observation and hidden Markov switching
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A decomposition method reduces LQ conditional McKean-Vlasov control problems with random coefficients to two decoupled stochastic optimal control problems whose optimal controls sum to the original optimum.
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Optimal Design of Stealthy Attacks in Partially Observed Linear Systems: A Likelihood-Based Approach
A tractable framework for optimal stealthy attacks in partially observed linear systems via innovation likelihood detection, with hierarchical optimization and separation principle yielding semi-explicit adaptive attacks.
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A Decomposition Method for LQ Conditional McKean-Vlasov Control Problems with Random Coefficients
A decomposition method reduces LQ conditional McKean-Vlasov control problems with random coefficients to two decoupled stochastic optimal control problems whose optimal controls sum to the original optimum.